HPD-Parsing
PaddlePaddle/HPD-Parsing
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 5,044
- Total downloadsCumulative all-time download counter reported by the source platform.
- 16.2K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +525(increase)
- 3.5%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 101
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1306 among tracked Image Text to Text models.
- #11,777
- 144(down 144 places)this week
- Parameters
- 1.1B
- Last source update
- Jul 22, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 53.6
- HPD-Parsing gained 525 downloads during the last seven tracked days.
- It moved from #1286 to #1306 among tracked Image Text to Text models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
HPD-Parsing is a image text to text model published by PaddlePaddle. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 31h ago.
- Published
- Jul 21, 2026
- Last updated
- Jul 22, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 1,071,912,960
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 75
transformerssafetensorsinternvl_chatfeature-extractionimage-text-to-textvisual-languagepaddleocrdocument-parseHPD-Parsingspeculative-decodingP-MTPeval results
Publisher
PaddlePaddleView publisher statistics →Derived from OpenGVLab/InternVL3_5-1B (reported by the source; parent not yet tracked).
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